Open AccessiSDAsoil: The first continent-scale soil property map at 30 m resolution provides a soil information revolution for Africa
Author(s) -
Matthew A. E. Miller,
Keith D. Shepherd,
Bruce Kisitu,
Jamie Collinson
Publication year - 2021
Publication title -
plos biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.127
H-Index - 271
eISSN - 1545-7885
pISSN - 1544-9173
DOI - 10.1371/journal.pbio.3001441
Subject(s) - biology , resolution (logic) , scale (ratio) , property (philosophy) , field (mathematics) , high resolution , digital soil mapping , remote sensing , soil science , soil map , agroforestry , soil water , cartography , ecology , artificial intelligence , computer science , geography , environmental science , mathematics , philosophy , epistemology , pure mathematics
Open access, high-resolution soil property maps have been created for Africa at 30 m resolution, using machine learning trained on over 100,000 analysed soil samples. Combined with other field-level information, iSDAsoil enables the possibility of site-specific agronomy advisory for smallholder farmers.